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Aims/Purpose: The effect of glaucoma on eye movements is not well understood, so it is extremely important to be able to quantitatively characterize eye movement data which could accelerate glaucoma diagnosis. The aim of the study was to determine differences in eye movements among glaucoma patients and healthy subjects, using a superfast eye tracking system, FreezEye Tracker (FET).
Methods: To study...
This paper describes a method for spatial tracking of a strapdown device that can be used for design of human-computer interfaces. Inertial Measurement Unit (IMU) is used to obtain 6-dof position exploiting the so-called ZUPT technique by the means of the Kalman Filter. Additional corrections of position are done using magnetometer readings in the presence of static magnetic field induced by permanent...
In this paper, we summarize AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene, which was held between March 9 and July 6, 2015. We describe the scope and background of the competition. We also reveal details regarding the data set used in the competition, which was collected and tagged specifically for the purpose of this data challenge. We explain the data acquisition...
This paper summarizes our approach and experimental evaluation of infrastructure-based Indoor Positioning System (IPS) designed to be used by First Responders. We are using 868 MHz single channel, power-efficient radio markers and RSSI (Receiver Signal Strength Indicator) fingerprinting. Artificial Neural Network translates vectors of RSSI constructed using mobile units into position. Special preprocessing...
This paper introduces a model fusion approach that improves the effectiveness of Personal Dead Reckoning Systems that exploits foot-mounted Inertial Measurement Units. Our solution estimates a sensor orientation by exploiting the Madgwick's algorithm integrated with popular Kalman-based solution. This way, attitude and heading correction is not based on the Zero-Velocity phase assumption which introduces...
In this paper we present a method for fusion of human poses that are estimated simultaneously from multiple RGB-D cameras. The proposed solution is scalable in terms of the number of used sensors, processing power, network overhead and keeping latency within small temporal bounds. Spatial relations of cameras are continuously estimated in near real-time from the acquired data. Sensors can be added,...
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